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A Longitudinal Parametric Approach to Estimate Local Government Efficiency

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Abstract

Previous empirical works on municipal efficiency have mostly used cross-sectional data which makes it impossible to separate unobserved heterogeneity from inefficiency. Furthermore, they have also typically used a two stages approach which has been widely criticized as the assumptions made in the first stage are violated in the second stage, generating biased results. We present one of the first longitudinal parametric studies that analyze municipal efficiency and its determinants using a one step procedure. Furthermore, we are the first of this kind that analize overall efficiency as well as efficiency by clusters of municipalities in order to reduce heterogeneity. We use administrative datasets of Chilean municipalities for the 2008-2010 period and our results suggest that Chilean municipalities have on average an inefficiency level of 30% with a significant variance between clusters of municipalities. Also, our results suggest that socio-economic, fiscal and political variables affect municipal efficiency. In particular, we found that municipalities with tighter budget constraints are associated with more efficient municipalities.
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  • Rafael Sanchez & Francisca Pacheco, 2014. "A Longitudinal Parametric Approach to Estimate Local Government Efficiency," Working Papers wp_033, Adolfo Ibáñez University, School of Government.
    • Handle: RePEc:uai:wpaper:wp_033
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    1. Geys, Benny & Heinemann, Friedrich & Kalb, Alexander, 2010. "Voter involvement, fiscal autonomy and public sector efficiency: Evidence from German municipalities," European Journal of Political Economy, Elsevier, vol. 26(2), pages 265-278, June.
    2. Lenka Š astná & Martin Gregor, 2011. "Local Government Efficiency: Evidence from the Czech Municipalities," Working Papers IES 2011/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2011.
    3. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    4. Heikki Loikkanen & Ilkka Susiluoton, 2000. "Cost Efficiency of Finnish Municipalities in Basic Service Provision 1994-2002," Regional and Urban Modeling 283600056, EcoMod.
    5. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    6. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    7. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    8. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    9. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    10. Angel Prieto & José ZofIo, 2001. "Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: The Case of Spanish Municipalities," Journal of Productivity Analysis, Springer, vol. 15(1), pages 41-58, January.
    11. Alexander Kalb, 2010. "The Impact of Intergovernmental Grants on Cost Efficiency: Theory and Evidence from German Municipalities," Economic Analysis and Policy, Elsevier, vol. 40(1), pages 21-63, March.
    12. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    13. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    14. Kumbhakar, Subal C & Ghosh, Soumendra & McGuckin, J Thomas, 1991. "A Generalized Production Frontier Approach for Estimating Determinants of Inefficiency in U.S. Dairy Farms," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(3), pages 279-286, July.
    15. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    16. de Sousa, Maria da Conceição Sampaio & Ramos, Francisco S., 1999. "Eficiência Técnica e Retornos de Escala na Produção de Serviços Públicos Municipais: o Caso do Nordeste e do Sudeste Brasileiros," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 53(4), October.
    17. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
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    1. Ifigeneia-Dimitra Pougkakioti, 2021. "Measuring The Efficiency And Productivity Change Of Municipalities With An Output Oriented Model:Empirical Evidence Across Greek Municipalities Over The Time Period 2012-2016," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 15(1), pages 98-125, JUNE.
    2. Marco Alberto De Benedetto & Sergio Destefanis & Luigi Guadalupi, 2019. "Electoral Reform and Public Sector Efficiency. Some Evidence From Italian Municipalities," Working Papers 3_237, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    3. Isabel Narbón-Perpiñá & Mª Teresa Balaguer-Coll & Marko Petrovic & Emili Tortosa-Ausina, 2017. "Which estimator to measure local governments’ cost efficiency? An application to Spanish municipalities," Working Papers 2017/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    4. Enrique J. Buch‐Gómez & Roberto Cabaleiro‐Casal, 2020. "Turnout, political strength, and cost efficiency in Spanish municipalities of the autonomous region of Galicia: Evidence from an alternative stochastic frontier approach," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 533-553, June.
    5. Isabel Narbón-Perpiñá & Kristof De Witte, 2016. "Local governments’ efficiency: A systematic literature review – Part II," Working Papers 2016/21, Economics Department, Universitat Jaume I, Castellón (Spain).
    6. Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Marko Petrović & Emili Tortosa-Ausina, 2020. "Which estimator to measure local governments’ cost efficiency? The case of Spanish municipalities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(1), pages 51-82, March.

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    JEL classification:

    • H72 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Budget and Expenditures
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

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